Dataset statistics
| Number of variables | 12 |
|---|---|
| Number of observations | 826 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 71.1 KiB |
| Average record size in memory | 88.2 B |
Variable types
| Numeric | 10 |
|---|---|
| Categorical | 2 |
Urea is highly correlated with Cr | High correlation |
Cr is highly correlated with Urea | High correlation |
HbA1c is highly correlated with AGE and 2 other fields | High correlation |
TG is highly correlated with VLDL | High correlation |
VLDL is highly correlated with TG and 1 other fields | High correlation |
BMI is highly correlated with AGE and 3 other fields | High correlation |
CLASS is highly correlated with AGE and 2 other fields | High correlation |
AGE is highly correlated with HbA1c and 2 other fields | High correlation |
Chol is highly correlated with LDL | High correlation |
LDL is highly correlated with Chol | High correlation |
Reproduction
| Analysis started | 2022-10-11 05:59:28.051922 |
|---|---|
| Analysis finished | 2022-10-11 06:00:49.930697 |
| Duration | 1 minute and 21.88 seconds |
| Software version | pandas-profiling v3.3.0 |
| Download configuration | config.json |
| Distinct | 50 |
|---|---|
| Distinct (%) | 6.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 53.49031477 |
| Minimum | 20 |
|---|---|
| Maximum | 79 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.6 KiB |
Quantile statistics
| Minimum | 20 |
|---|---|
| 5-th percentile | 33.25 |
| Q1 | 51 |
| median | 55 |
| Q3 | 59 |
| 95-th percentile | 65.75 |
| Maximum | 79 |
| Range | 59 |
| Interquartile range (IQR) | 8 |
Descriptive statistics
| Standard deviation | 8.808427268 |
|---|---|
| Coefficient of variation (CV) | 0.1646733115 |
| Kurtosis | 1.446224746 |
| Mean | 53.49031477 |
| Median Absolute Deviation (MAD) | 4 |
| Skewness | -0.811071565 |
| Sum | 44183 |
| Variance | 77.58839093 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 55 | 145 | |
| 60 | 76 | 9.2% |
| 54 | 70 | 8.5% |
| 51 | 42 | 5.1% |
| 61 | 42 | 5.1% |
| 56 | 37 | 4.5% |
| 52 | 36 | 4.4% |
| 50 | 34 | 4.1% |
| 59 | 27 | 3.3% |
| 57 | 25 | 3.0% |
| Other values (40) | 292 |
| Value | Count | Frequency (%) |
| 20 | 1 | 0.1% |
| 25 | 1 | 0.1% |
| 26 | 2 | 0.2% |
| 28 | 3 | 0.4% |
| 30 | 15 | |
| 31 | 7 | |
| 32 | 1 | 0.1% |
| 33 | 12 | |
| 34 | 4 | 0.5% |
| 35 | 10 |
| Value | Count | Frequency (%) |
| 79 | 1 | 0.1% |
| 77 | 3 | |
| 76 | 4 | |
| 75 | 2 | 0.2% |
| 73 | 5 | |
| 71 | 1 | 0.1% |
| 70 | 2 | 0.2% |
| 69 | 5 | |
| 68 | 7 | |
| 67 | 5 |
| Distinct | 110 |
|---|---|
| Distinct (%) | 13.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5.184676755 |
| Minimum | 0.5 |
|---|---|
| Maximum | 38.9 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.6 KiB |
Quantile statistics
| Minimum | 0.5 |
|---|---|
| 5-th percentile | 2.3 |
| Q1 | 3.615 |
| median | 4.6 |
| Q3 | 5.7 |
| 95-th percentile | 10 |
| Maximum | 38.9 |
| Range | 38.4 |
| Interquartile range (IQR) | 2.085 |
Descriptive statistics
| Standard deviation | 3.077831319 |
|---|---|
| Coefficient of variation (CV) | 0.5936399633 |
| Kurtosis | 29.19738507 |
| Mean | 5.184676755 |
| Median Absolute Deviation (MAD) | 1.08 |
| Skewness | 4.258575864 |
| Sum | 4282.543 |
| Variance | 9.473045628 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 5 | 30 | 3.6% |
| 4.3 | 27 | 3.3% |
| 4 | 27 | 3.3% |
| 4.1 | 26 | 3.1% |
| 3 | 23 | 2.8% |
| 4.8 | 23 | 2.8% |
| 4.7 | 22 | 2.7% |
| 3.8 | 21 | 2.5% |
| 4.5 | 21 | 2.5% |
| 4.6 | 21 | 2.5% |
| Other values (100) | 585 |
| Value | Count | Frequency (%) |
| 0.5 | 1 | 0.1% |
| 1.1 | 1 | 0.1% |
| 1.2 | 1 | 0.1% |
| 1.8 | 2 | 0.2% |
| 1.9 | 1 | 0.1% |
| 2 | 16 | |
| 2.1 | 13 | |
| 2.2 | 5 | 0.6% |
| 2.3 | 7 | |
| 2.4 | 4 | 0.5% |
| Value | Count | Frequency (%) |
| 38.9 | 1 | 0.1% |
| 26.4 | 1 | 0.1% |
| 24 | 3 | |
| 22 | 2 | |
| 20.8 | 3 | |
| 20 | 1 | 0.1% |
| 17.1 | 1 | 0.1% |
| 14.9 | 1 | 0.1% |
| 14.5 | 2 | |
| 14.1 | 1 | 0.1% |
| Distinct | 113 |
|---|---|
| Distinct (%) | 13.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 69.02421308 |
| Minimum | 6 |
|---|---|
| Maximum | 800 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.6 KiB |
Quantile statistics
| Minimum | 6 |
|---|---|
| 5-th percentile | 33 |
| Q1 | 48 |
| median | 59 |
| Q3 | 73 |
| 95-th percentile | 112.75 |
| Maximum | 800 |
| Range | 794 |
| Interquartile range (IQR) | 25 |
Descriptive statistics
| Standard deviation | 59.55710797 |
|---|---|
| Coefficient of variation (CV) | 0.8628437083 |
| Kurtosis | 87.03510647 |
| Mean | 69.02421308 |
| Median Absolute Deviation (MAD) | 13 |
| Skewness | 8.148519109 |
| Sum | 57014 |
| Variance | 3547.04911 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 56 | 36 | 4.4% |
| 55 | 27 | 3.3% |
| 70 | 23 | 2.8% |
| 72 | 22 | 2.7% |
| 53 | 22 | 2.7% |
| 62 | 21 | 2.5% |
| 48 | 21 | 2.5% |
| 59 | 20 | 2.4% |
| 61 | 19 | 2.3% |
| 49 | 19 | 2.3% |
| Other values (103) | 596 |
| Value | Count | Frequency (%) |
| 6 | 1 | 0.1% |
| 20 | 2 | |
| 22 | 2 | |
| 23 | 3 | |
| 24 | 2 | |
| 25 | 1 | 0.1% |
| 26 | 1 | 0.1% |
| 27 | 2 | |
| 28 | 4 | |
| 29 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 800 | 3 | |
| 401 | 3 | |
| 370 | 2 | |
| 344 | 1 | 0.1% |
| 327 | 1 | 0.1% |
| 315 | 1 | 0.1% |
| 243 | 1 | 0.1% |
| 230 | 1 | 0.1% |
| 228 | 1 | 0.1% |
| 203 | 1 | 0.1% |
| Distinct | 111 |
|---|---|
| Distinct (%) | 13.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 8.326343826 |
| Minimum | 0.9 |
|---|---|
| Maximum | 16 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.6 KiB |
Quantile statistics
| Minimum | 0.9 |
|---|---|
| 5-th percentile | 4.1 |
| Q1 | 6.5 |
| median | 8.1 |
| Q3 | 10.2 |
| 95-th percentile | 12.575 |
| Maximum | 16 |
| Range | 15.1 |
| Interquartile range (IQR) | 3.7 |
Descriptive statistics
| Standard deviation | 2.602589004 |
|---|---|
| Coefficient of variation (CV) | 0.3125728482 |
| Kurtosis | -0.3397004534 |
| Mean | 8.326343826 |
| Median Absolute Deviation (MAD) | 1.9 |
| Skewness | 0.1825979019 |
| Sum | 6877.56 |
| Variance | 6.773469525 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 4 | 30 | 3.6% |
| 8 | 29 | 3.5% |
| 9 | 27 | 3.3% |
| 7 | 23 | 2.8% |
| 6.8 | 22 | 2.7% |
| 5 | 20 | 2.4% |
| 10.2 | 19 | 2.3% |
| 6 | 17 | 2.1% |
| 8.5 | 16 | 1.9% |
| 7.7 | 16 | 1.9% |
| Other values (101) | 607 |
| Value | Count | Frequency (%) |
| 0.9 | 3 | 0.4% |
| 2 | 1 | 0.1% |
| 3 | 1 | 0.1% |
| 3.7 | 4 | 0.5% |
| 4 | 30 | |
| 4.1 | 7 | 0.8% |
| 4.2 | 5 | 0.6% |
| 4.3 | 9 | 1.1% |
| 4.5 | 5 | 0.6% |
| 4.6 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 16 | 1 | 0.1% |
| 15.9 | 1 | 0.1% |
| 15 | 2 | |
| 14.8 | 1 | 0.1% |
| 14.7 | 3 | |
| 14.6 | 2 | |
| 14.5 | 2 | |
| 14.4 | 1 | 0.1% |
| 14.1 | 1 | 0.1% |
| 13.9 | 2 |
| Distinct | 77 |
|---|---|
| Distinct (%) | 9.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.898208232 |
| Minimum | 0 |
|---|---|
| Maximum | 10.3 |
| Zeros | 1 |
| Zeros (%) | 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 3 |
| Q1 | 4 |
| median | 4.8 |
| Q3 | 5.6 |
| 95-th percentile | 7.2 |
| Maximum | 10.3 |
| Range | 10.3 |
| Interquartile range (IQR) | 1.6 |
Descriptive statistics
| Standard deviation | 1.328811612 |
|---|---|
| Coefficient of variation (CV) | 0.2712852433 |
| Kurtosis | 1.69611274 |
| Mean | 4.898208232 |
| Median Absolute Deviation (MAD) | 0.8 |
| Skewness | 0.575506994 |
| Sum | 4045.92 |
| Variance | 1.765740301 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 4.4 | 34 | 4.1% |
| 4.9 | 34 | 4.1% |
| 4.8 | 32 | 3.9% |
| 5.3 | 32 | 3.9% |
| 4 | 30 | 3.6% |
| 4.2 | 30 | 3.6% |
| 5.2 | 29 | 3.5% |
| 4.1 | 28 | 3.4% |
| 4.6 | 25 | 3.0% |
| 3.6 | 24 | 2.9% |
| Other values (67) | 528 |
| Value | Count | Frequency (%) |
| 0 | 1 | 0.1% |
| 0.5 | 1 | 0.1% |
| 0.6 | 1 | 0.1% |
| 1.2 | 1 | 0.1% |
| 2 | 5 | |
| 2.1 | 2 | 0.2% |
| 2.3 | 3 | |
| 2.4 | 4 | |
| 2.5 | 4 | |
| 2.6 | 4 |
| Value | Count | Frequency (%) |
| 10.3 | 1 | |
| 9.9 | 1 | |
| 9.8 | 2 | |
| 9.7 | 2 | |
| 9.5 | 2 | |
| 9.3 | 1 | |
| 9.2 | 1 | |
| 9.1 | 1 | |
| 8.8 | 2 | |
| 8.6 | 1 |
| Distinct | 69 |
|---|---|
| Distinct (%) | 8.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.39937046 |
| Minimum | 0.3 |
|---|---|
| Maximum | 13.8 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.6 KiB |
Quantile statistics
| Minimum | 0.3 |
|---|---|
| 5-th percentile | 0.8 |
| Q1 | 1.5 |
| median | 2.015 |
| Q3 | 3 |
| 95-th percentile | 5.1 |
| Maximum | 13.8 |
| Range | 13.5 |
| Interquartile range (IQR) | 1.5 |
Descriptive statistics
| Standard deviation | 1.456849516 |
|---|---|
| Coefficient of variation (CV) | 0.6071799 |
| Kurtosis | 10.14366515 |
| Mean | 2.39937046 |
| Median Absolute Deviation (MAD) | 0.715 |
| Skewness | 2.294614502 |
| Sum | 1981.88 |
| Variance | 2.122410512 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2.1 | 46 | 5.6% |
| 2 | 45 | 5.4% |
| 1.3 | 39 | 4.7% |
| 1.5 | 36 | 4.4% |
| 1.7 | 35 | 4.2% |
| 1.9 | 33 | 4.0% |
| 2.2 | 31 | 3.8% |
| 1.8 | 30 | 3.6% |
| 1.6 | 30 | 3.6% |
| 1.2 | 30 | 3.6% |
| Other values (59) | 471 |
| Value | Count | Frequency (%) |
| 0.3 | 2 | 0.2% |
| 0.5 | 1 | 0.1% |
| 0.6 | 12 | 1.5% |
| 0.7 | 22 | |
| 0.8 | 16 | |
| 0.9 | 12 | 1.5% |
| 1 | 22 | |
| 1.1 | 25 | |
| 1.19 | 2 | 0.2% |
| 1.2 | 30 |
| Value | Count | Frequency (%) |
| 13.8 | 1 | 0.1% |
| 12.7 | 1 | 0.1% |
| 11.6 | 1 | 0.1% |
| 8.7 | 1 | 0.1% |
| 8.5 | 1 | 0.1% |
| 7.7 | 2 | |
| 7.2 | 2 | |
| 7 | 3 | |
| 6.8 | 2 | |
| 6.7 | 2 |
HDL
Real number (ℝ≥0)
| Distinct | 48 |
|---|---|
| Distinct (%) | 5.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.211803874 |
| Minimum | 0.2 |
|---|---|
| Maximum | 9.9 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.6 KiB |
Quantile statistics
| Minimum | 0.2 |
|---|---|
| 5-th percentile | 0.7 |
| Q1 | 0.9 |
| median | 1.1 |
| Q3 | 1.3 |
| 95-th percentile | 1.9 |
| Maximum | 9.9 |
| Range | 9.7 |
| Interquartile range (IQR) | 0.4 |
Descriptive statistics
| Standard deviation | 0.6796098812 |
|---|---|
| Coefficient of variation (CV) | 0.5608249781 |
| Kurtosis | 62.70008671 |
| Mean | 1.211803874 |
| Median Absolute Deviation (MAD) | 0.2 |
| Skewness | 6.29831597 |
| Sum | 1000.95 |
| Variance | 0.4618695906 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=48)
| Value | Count | Frequency (%) |
| 0.9 | 120 | |
| 1.1 | 113 | |
| 1 | 105 | |
| 0.8 | 70 | |
| 1.3 | 65 | |
| 1.2 | 60 | |
| 0.7 | 47 | 5.7% |
| 1.4 | 46 | 5.6% |
| 1.6 | 35 | 4.2% |
| 1.8 | 28 | 3.4% |
| Other values (38) | 137 |
| Value | Count | Frequency (%) |
| 0.2 | 1 | 0.1% |
| 0.4 | 7 | 0.8% |
| 0.5 | 6 | 0.7% |
| 0.6 | 20 | 2.4% |
| 0.7 | 47 | 5.7% |
| 0.75 | 2 | 0.2% |
| 0.8 | 70 | |
| 0.9 | 120 | |
| 0.95 | 1 | 0.1% |
| 1 | 105 |
| Value | Count | Frequency (%) |
| 9.9 | 1 | |
| 9 | 1 | |
| 6.6 | 1 | |
| 6.3 | 1 | |
| 5 | 1 | |
| 4 | 1 | |
| 3.9 | 1 | |
| 3.8 | 1 | |
| 3.6 | 2 | |
| 3.4 | 1 |
| Distinct | 65 |
|---|---|
| Distinct (%) | 7.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.590060533 |
| Minimum | 0.3 |
|---|---|
| Maximum | 9.9 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.6 KiB |
Quantile statistics
| Minimum | 0.3 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1.7 |
| median | 2.5 |
| Q3 | 3.3 |
| 95-th percentile | 4.3 |
| Maximum | 9.9 |
| Range | 9.6 |
| Interquartile range (IQR) | 1.6 |
Descriptive statistics
| Standard deviation | 1.132863199 |
|---|---|
| Coefficient of variation (CV) | 0.4373886958 |
| Kurtosis | 3.023358049 |
| Mean | 2.590060533 |
| Median Absolute Deviation (MAD) | 0.8 |
| Skewness | 1.005128643 |
| Sum | 2139.39 |
| Variance | 1.283379027 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2.5 | 49 | 5.9% |
| 2 | 43 | 5.2% |
| 1.7 | 35 | 4.2% |
| 3 | 33 | 4.0% |
| 1.4 | 32 | 3.9% |
| 3.6 | 32 | 3.9% |
| 2.6 | 31 | 3.8% |
| 3.1 | 28 | 3.4% |
| 1.3 | 27 | 3.3% |
| 2.1 | 25 | 3.0% |
| Other values (55) | 491 |
| Value | Count | Frequency (%) |
| 0.3 | 1 | 0.1% |
| 0.5 | 2 | 0.2% |
| 0.6 | 3 | 0.4% |
| 0.7 | 2 | 0.2% |
| 0.75 | 3 | 0.4% |
| 0.8 | 6 | 0.7% |
| 0.9 | 19 | |
| 0.95 | 4 | 0.5% |
| 0.96 | 1 | 0.1% |
| 1 | 9 |
| Value | Count | Frequency (%) |
| 9.9 | 1 | 0.1% |
| 7.9 | 2 | |
| 7.5 | 1 | 0.1% |
| 7 | 1 | 0.1% |
| 6.4 | 1 | 0.1% |
| 5.9 | 1 | 0.1% |
| 5.6 | 3 | |
| 5.5 | 3 | |
| 5.3 | 1 | 0.1% |
| 5.1 | 1 | 0.1% |
| Distinct | 60 |
|---|---|
| Distinct (%) | 7.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.774576271 |
| Minimum | 0.1 |
|---|---|
| Maximum | 35 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.6 KiB |
Quantile statistics
| Minimum | 0.1 |
|---|---|
| 5-th percentile | 0.4 |
| Q1 | 0.7 |
| median | 1 |
| Q3 | 1.5 |
| 95-th percentile | 4.775 |
| Maximum | 35 |
| Range | 34.9 |
| Interquartile range (IQR) | 0.8 |
Descriptive statistics
| Standard deviation | 3.517930883 |
|---|---|
| Coefficient of variation (CV) | 1.982406133 |
| Kurtosis | 40.18481999 |
| Mean | 1.774576271 |
| Median Absolute Deviation (MAD) | 0.4 |
| Skewness | 5.89318668 |
| Sum | 1465.8 |
| Variance | 12.3758377 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.9 | 86 | 10.4% |
| 0.7 | 74 | 9.0% |
| 1 | 65 | 7.9% |
| 0.8 | 65 | 7.9% |
| 0.6 | 60 | 7.3% |
| 1.5 | 59 | 7.1% |
| 1.1 | 49 | 5.9% |
| 0.5 | 43 | 5.2% |
| 1.3 | 37 | 4.5% |
| 2 | 35 | 4.2% |
| Other values (50) | 253 |
| Value | Count | Frequency (%) |
| 0.1 | 2 | 0.2% |
| 0.2 | 5 | 0.6% |
| 0.3 | 23 | 2.8% |
| 0.4 | 32 | 3.9% |
| 0.5 | 43 | |
| 0.6 | 60 | |
| 0.7 | 74 | |
| 0.8 | 65 | |
| 0.9 | 86 | |
| 1 | 65 |
| Value | Count | Frequency (%) |
| 35 | 1 | |
| 33.6 | 1 | |
| 31.8 | 1 | |
| 31 | 1 | |
| 27.2 | 1 | |
| 24.5 | 1 | |
| 22.7 | 1 | |
| 22.2 | 1 | |
| 19.5 | 1 | |
| 18.1 | 1 |
| Distinct | 64 |
|---|---|
| Distinct (%) | 7.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 29.45927361 |
| Minimum | 19 |
|---|---|
| Maximum | 47.75 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.6 KiB |
Quantile statistics
| Minimum | 19 |
|---|---|
| 5-th percentile | 21 |
| Q1 | 26 |
| median | 30 |
| Q3 | 33 |
| 95-th percentile | 38 |
| Maximum | 47.75 |
| Range | 28.75 |
| Interquartile range (IQR) | 7 |
Descriptive statistics
| Standard deviation | 4.996675763 |
|---|---|
| Coefficient of variation (CV) | 0.1696129996 |
| Kurtosis | -0.425355565 |
| Mean | 29.45927361 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | 0.08120902248 |
| Sum | 24333.36 |
| Variance | 24.96676868 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 30 | 91 | 11.0% |
| 33 | 85 | 10.3% |
| 29 | 57 | 6.9% |
| 24 | 52 | 6.3% |
| 26 | 50 | 6.1% |
| 31 | 46 | 5.6% |
| 28 | 42 | 5.1% |
| 27 | 41 | 5.0% |
| 32 | 40 | 4.8% |
| 21 | 35 | 4.2% |
| Other values (54) | 287 |
| Value | Count | Frequency (%) |
| 19 | 6 | 0.7% |
| 19.5 | 1 | 0.1% |
| 20 | 10 | 1.2% |
| 21 | 35 | |
| 21.17 | 1 | 0.1% |
| 22 | 29 | |
| 22.5 | 1 | 0.1% |
| 23 | 32 | |
| 23.5 | 1 | 0.1% |
| 24 | 52 |
| Value | Count | Frequency (%) |
| 47.75 | 1 | 0.1% |
| 47 | 1 | 0.1% |
| 43.25 | 1 | 0.1% |
| 40.5 | 1 | 0.1% |
| 40 | 1 | 0.1% |
| 39.18 | 1 | 0.1% |
| 39 | 18 | |
| 38.62 | 1 | 0.1% |
| 38 | 21 | |
| 37.62 | 1 | 0.1% |
Gender
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 6.6 KiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 826 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 463 | |
| 0 | 363 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 1 | 463 | |
| 0 | 363 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 463 | |
| 0 | 363 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 826 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 463 | |
| 0 | 363 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 826 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 463 | |
| 0 | 363 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 826 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 463 | |
| 0 | 363 |
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 6.6 KiB |
| 2 | |
|---|---|
| 0 | |
| 1 | 40 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 826 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 2 | 690 | |
| 0 | 96 | 11.6% |
| 1 | 40 | 4.8% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 2 | 690 | |
| 0 | 96 | 11.6% |
| 1 | 40 | 4.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| 2 | 690 | |
| 0 | 96 | 11.6% |
| 1 | 40 | 4.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 826 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 2 | 690 | |
| 0 | 96 | 11.6% |
| 1 | 40 | 4.8% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 826 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 2 | 690 | |
| 0 | 96 | 11.6% |
| 1 | 40 | 4.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 826 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 2 | 690 | |
| 0 | 96 | 11.6% |
| 1 | 40 | 4.8% |
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
First rows
| AGE | Urea | Cr | HbA1c | Chol | TG | HDL | LDL | VLDL | BMI | Gender | CLASS | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 50 | 4.7 | 46 | 4.9 | 4.2 | 0.9 | 2.4 | 1.4 | 0.5 | 24.0 | 0 | 0 |
| 1 | 26 | 4.5 | 62 | 4.9 | 3.7 | 1.4 | 1.1 | 2.1 | 0.6 | 23.0 | 1 | 0 |
| 2 | 33 | 7.1 | 46 | 4.9 | 4.9 | 1.0 | 0.8 | 2.0 | 0.4 | 21.0 | 1 | 0 |
| 3 | 45 | 2.3 | 24 | 4.0 | 2.9 | 1.0 | 1.0 | 1.5 | 0.4 | 21.0 | 0 | 0 |
| 4 | 50 | 2.0 | 50 | 4.0 | 3.6 | 1.3 | 0.9 | 2.1 | 0.6 | 24.0 | 0 | 0 |
| 5 | 48 | 4.7 | 47 | 4.0 | 2.9 | 0.8 | 0.9 | 1.6 | 0.4 | 24.0 | 1 | 0 |
| 6 | 43 | 2.6 | 67 | 4.0 | 3.8 | 0.9 | 2.4 | 3.7 | 1.0 | 21.0 | 1 | 0 |
| 7 | 32 | 3.6 | 28 | 4.0 | 3.8 | 2.0 | 2.4 | 3.8 | 1.0 | 24.0 | 0 | 0 |
| 8 | 31 | 4.4 | 55 | 4.2 | 3.6 | 0.7 | 1.7 | 1.6 | 0.3 | 23.0 | 0 | 0 |
| 9 | 33 | 3.3 | 53 | 4.0 | 4.0 | 1.1 | 0.9 | 2.7 | 1.0 | 21.0 | 0 | 0 |
Last rows
| AGE | Urea | Cr | HbA1c | Chol | TG | HDL | LDL | VLDL | BMI | Gender | CLASS | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 816 | 75 | 10.3 | 113 | 8.6 | 4.2 | 1.6 | 0.9 | 2.6 | 0.7 | 32.0 | 0 | 2 |
| 817 | 58 | 4.0 | 55 | 7.9 | 4.9 | 2.0 | 1.2 | 1.4 | 1.1 | 35.0 | 1 | 2 |
| 818 | 55 | 5.4 | 62 | 6.8 | 5.3 | 2.0 | 1.0 | 3.5 | 0.9 | 30.1 | 1 | 2 |
| 819 | 55 | 4.8 | 88 | 11.1 | 5.7 | 4.0 | 0.9 | 3.3 | 1.8 | 30.0 | 1 | 2 |
| 820 | 62 | 6.3 | 82 | 6.7 | 5.3 | 2.0 | 1.0 | 3.5 | 0.9 | 30.1 | 1 | 2 |
| 821 | 57 | 4.1 | 70 | 9.3 | 5.3 | 3.3 | 1.0 | 1.4 | 1.3 | 29.0 | 0 | 2 |
| 822 | 55 | 3.1 | 39 | 8.5 | 5.0 | 2.5 | 1.9 | 2.9 | 0.7 | 27.0 | 1 | 2 |
| 823 | 28 | 3.5 | 61 | 8.5 | 4.5 | 1.9 | 1.1 | 2.6 | 0.8 | 37.0 | 1 | 2 |
| 824 | 69 | 10.3 | 185 | 7.7 | 4.9 | 1.9 | 1.2 | 3.0 | 0.7 | 37.0 | 1 | 2 |
| 825 | 71 | 11.0 | 97 | 7.0 | 7.5 | 1.7 | 1.2 | 1.8 | 0.6 | 30.0 | 1 | 2 |